Search result

Documentation of statistics: Parental leave benefits

Contact info, Labour Market, Social Statistics , Anna Skovbæk Mortensen , +45 21 77 67 54 , AOM@dst.dk , Get documentation of statistics as pdf, Parental leave benefits 2024 , Previous versions, Parental leave benefits 2023, Parental leave benefits 2022, Parental leave benefits 2021, Parental leave benefits 2020, Benefits in connection with childbirth 2019, Documents associated with the documentation, Genudgivelse af barselsdagpengedata for fødselsårgange 2017-2023 (pdf) (in Danish only), The statistics Parental leave benefits in connection with childbirth shed light on the use of the Maternity Act, including equality between mothers and fathers. The statistics have been compiled since 1995, but in 2017 changed data source. Since 2017, data from ATP / Udbetaling Danmark's IT system for the administration of payment of parental benefits in connection with birth, adoption, child illness etc., Statistical presentation, Childbirth allowance annually calculate a parent's year's use of the rights the Maternity Act gives them, and the distribution of parental leave between the father and mother, as well as the number of persons, and days on benefits. Furthermore, the statistics provide the data basis for calculating amounts paid out in connection with childbirth. , Read more about statistical presentation, Statistical processing, The data basis of the statistics is based on a total extraction from 13 central tables in the database for ATP/Udbetaling Danmark's administrative IT system, UDK-Barsel, and a delta extraction from a 14th table, which is very large. Selected variables from the 14 tables are merged into a single table that constitutes a longitudinal register, the Barselsdagpenge Register, with a well-defined record structure. The Barselsstatistik Register is formed by combining the Barselsdagpenge Register with an extract from the Population Register and other Danish Statistics registers., Read more about statistical processing, Relevance, The maternity and paternity leave part of the statistic is used by ministries for reasons of gender equality policy and of the unions and the employers' organizations in connection with collective bargaining agreements. The statistics are included as an important data element concerning analyzes of the productivity of the Danish workforce (economic model calculations), the labor market accounts, the statistics statistics on Public dependents and the absence statistics, Read more about relevance, Accuracy and reliability, The statistics summarize the reports of birth or adoption that have triggered the payment of due to maternity leave. The expectation is that all cases are reported. However, there are a number of cases that will only be reported long after the end of the year to which the case relates, why the last year is not fully updated. In order to get a picture of a parent's year's use of the maternity law, it has been necessary to link several registers and set up an algorithm for calculating the parents' entitlement. There is a risk of programming errors here, just as the algorithm rules are a choice., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published annually three months after the reference year in March-April. March-April is chosen as the compromise of current interest and waiting for the last reports of the year to appear. At publishing time the newest data will be less than three months old. , Read more about timeliness and punctuality, Comparability, The statistics are influenced by local Danish legislation, which makes comparison with similar statistics from other countries difficult. In addition, maternity leave can be calculated in 18 different ways, which is why it requires a good knowledge of the documentation for countries' calculation methods before comparing their figures. At the moment, the statistics cover data for the years 2015-2023, where no data breach has been detected, with the exception that the 1st quarter of 2015 is under-updated, which gives a minor data breach for total counts., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Parental leave benefits, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/parental-leave-benefits

Documentation of statistics

Contact: Welfare and Health

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Kirsten Hoo-Mi Sloth , +45 24 76 65 67, kms@dst.dk, Executive chief consultant, Executive chief consultant, Hanne Rasmussen , +45 20 58 30 63, hra@dst.dk, Health, disabled people and crime, Chief Adviser, Chief Adviser, Klaus Birch Lundgaard , +45 51 14 62 78, klu@dst.dk, Chief Adviser, Chief Adviser, David Rosdahl , +45 23 84 20 43, dro@dst.dk, Senior Adviser, Senior Adviser, Jonas Ellemand , +45 24 90 74 98, joe@dst.dk, Senior Adviser, Senior Adviser, Peter Krogh , +45 20 15 83 11, ptk@dst.dk, Senior Adviser, Senior Adviser, Line Neerup Handlos , +45 26 64 03 00, lha@dst.dk, Senior Adviser, Senior Adviser, Camilla Østerballe Nielsen , +45 20 28 52 49, cnl@dst.dk, Head of Section, Head of Section, Benedikte Beckman Nygaard , +45 21 19 10 53, bbn@dst.dk, Head of Section, Head of Section, Jonas Kirchheiner-Rasmussen , +45 61 50 23 80, ras@dst.dk, Head of Section, Head of Section, Ferdinand Roesen , +45 21 45 48 43, fer@dst.dk, Senior Head Clerk, Senior Head Clerk, Karsten Werner Nielsen , +45 30 45 69 04, kwn@dst.dk, Senior Head Clerk, Senior Head Clerk, Vibeke Nordrum , +45 24 94 35 52, vno@dst.dk, Senior Head Clerk, Senior Head Clerk, Iben Birgitte Pedersen , +45 23 60 37 11, ipe@dst.dk, Senior Head Clerk, Senior Head Clerk, Claus Østberg , +45 51 79 31 58, coj@dst.dk, Student, Student, Emilia Nielsen , +45 20 31 92 36, edg@dst.dk, Seniors and marginalised adults, Chief Adviser, Chief Adviser, Chris Cornelia Friis Christiansen , +45 23 13 05 91, ccc@dst.dk, Senior Adviser, Senior Adviser, Siri Dencker , +45 21 45 34 92, sen@dst.dk, Head of Section, Head of Section, Sille Amalie Aagaard Kristensen , +45 20 11 52 16, sak@dst.dk, Head of Section, Head of Section, Marie Borring Klitgaard , +45 21 55 83 71, mga@dst.dk, Head of Section, Head of Section, Birgitte Lundstrøm , +45 24 21 39 65, bls@dst.dk, Head of Section, Head of Section, Clara Matilde Møgelmose Larsen , +45 30 45 88 23, cml@dst.dk, Head of Section, Head of Section, Silas Turner , +45 21 54 42 57, str@dst.dk, Senior Head Clerk, Senior Head Clerk, Ramije Idrizi , +45 20 57 99 53, rai@dst.dk, Vulnerable Children and Young Persons, Chief Adviser, Chief Adviser, Sofie Mandrup Hansen , +45 24 43 54 57, sfh@dst.dk, Senior Adviser, Senior Adviser, Jane Christensen , +45 20 58 42 40, jnc@dst.dk, Head of Section, Head of Section, Rasmus Waagø Jacobsen , +45 61 50 93 37, rwj@dst.dk, Head of Section, Head of Section, Johanna Jallberg , +45 20 16 01 71, jjg@dst.dk, Head of Section, Head of Section, Cecilie Katholm , +45 21 45 33 42, cek@dst.dk, Head of Section, Head of Section, Marko Malic , +45 51 70 56 95, mmc@dst.dk, Head of Section, Head of Section, Anne Morsing , +45 21 82 17 60, aem@dst.dk, Head of Section, Head of Section, Jonas Johansen Næsby , +45 29 44 68 24, jjn@dst.dk, Senior Head Clerk, Senior Head Clerk, Bente Ottosen , +45 41 31 74 23, bbo@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=10&tlfbogsort=sektion

Contact: National Accounts, Climate and Environment

Section/Title, Name, Phone, Mail, Head of Section, Head of Section, Benjamin Dahlerup Fazlagic , +45 23 84 60 78, bdf@dst.dk, Management and Office Support, Head of Division, Head of Division, Henrik Sejerbo Sørensen , +45 61 46 44 06, hss@dst.dk, Head of Division, Head of Division, Ingeborg Vind , +45 24 83 51 49, inv@dst.dk, Executive chief consultant, Executive chief consultant, Maria Nilsson , +45 61 50 49 65, mnn@dst.dk, Annual National Accounts, Chief Adviser, Chief Adviser, Martin Birger Larsen , +45 61 15 15 43, mbl@dst.dk, Chief Adviser, Chief Adviser, Brian Südel , +45 21 83 60 64, bsu@dst.dk, Chief Adviser, Chief Adviser, Annette Thomsen , +45 22 16 62 51, ath@dst.dk, Senior Adviser, Senior Adviser, Christina Just Brandstrup , +45 21 45 52 79, cjb@dst.dk, Senior Adviser, Senior Adviser, Martin Brandstrup , +45 23 80 57 50, brn@dst.dk, Senior Adviser, Senior Adviser, Ralph Bøge Jensen , +45 21 33 67 84, rbj@dst.dk, Head of Section, Head of Section, Mercedes Sophie Louise Bech , +45 51 53 61 56, mcb@dst.dk, Head of Section, Head of Section, Magnus Børre Eriksen , +45 29 12 27 56, mbe@dst.dk, Head of Section, Head of Section, Louise Mathilde Justesen , +45 40 26 47 43, lom@dst.dk, Head of Section, Head of Section, Niels Lauritzen , +45 23 81 99 13, nso@dst.dk, Head of Section, Head of Section, Tetiana Melnyk , +45 21 83 36 07, tvm@dst.dk, Head of Section, Head of Section, Ina Drabsch Rasmussen , +45 21 34 45 24, idr@dst.dk, Economic Models, Chief Adviser, Chief Adviser, Tony Maarsleth Kristensen , +45 40 20 47 89, tmk@dst.dk, Chief Adviser, Chief Adviser, Jes Asger Olsen , +45 24 26 54 49, jao@dst.dk, Chief Adviser, Chief Adviser, Michael Osterwald-Lenum , +45 20 57 01 29, mol@dst.dk, Chief Adviser, Chief Adviser, Karen Skriver Lauger , +45 51 49 86 87, ksl@dst.dk, Senior Adviser, Senior Adviser, Dawit Sisay Temere , +45 24 92 95 89, dsi@dst.dk, Senior Adviser, Senior Adviser, Thomas Thomsen , +45 50 54 12 98, tth@dst.dk, Green national accounts, Chief Adviser, Chief Adviser, Peter Rørmose Jensen , +45 40 13 51 26, prj@dst.dk, Chief Adviser, Chief Adviser, Ole Gravgård Pedersen , +45 30 89 28 39, ogp@dst.dk, Senior Adviser, Senior Adviser, Asger Andersen , +45 24 75 24 15, asa@dst.dk, Senior Adviser, Senior Adviser, Thomas Eisler , +45 20 56 92 83, tme@dst.dk, Senior Adviser, Senior Adviser, Leif Hoffmann , +45 23 69 58 63, lhf@dst.dk, Senior Adviser, Senior Adviser, Bogomil Emilov Iliev , +45 21 18 78 92, boi@dst.dk, Head of Section, Head of Section, Maria Skytte Christiansen , +45 24 25 42 07, mcr@dst.dk, Head of Section, Head of Section, Michael Berg Rasmussen , +45 51 46 23 15, mbr@dst.dk, Head of Section, Head of Section, Jonas Foged Svendsen , +45 21 34 73 19, jfs@dst.dk, Head of Section, Head of Section, Michael Zörner , +45 24 41 73 66, miz@dst.dk, Input data, Publication and Administration, Senior Head Clerk, Senior Head Clerk, Mette Ferslev , +45 24 79 33 96, mfe@dst.dk, Senior Head Clerk, Senior Head Clerk, Nadiia Mamikonian , +45 40 16 89 17, ndm@dst.dk, Senior Head Clerk, Senior Head Clerk, Bo Siemsen , +45 21 57 97 24, bsm@dst.dk, Quarterly National Accounts, Chief Adviser, Chief Adviser, Jonas Dan Petersen , +45 30 57 18 26, jop@dst.dk, Head of Section, Head of Section, Kari Anne Janisse Arildsen , +45 40 43 38 12, kjs@dst.dk, Head of Section, Head of Section, Bahar Dudus Celik , +45 24 78 48 23, bdu@dst.dk, Head of Section, Head of Section, Emma Gabriel , +45 21 19 39 76, ega@dst.dk, Head of Section, Head of Section, Søren Havn Gjedsted , +45 30 45 28 67, shg@dst.dk, Head of Section, Head of Section, Henning Elberg Jørgensen , +45 21 78 12 42, hjg@dst.dk, Head of Section, Head of Section, Oliver Nygaard Sørensen , +45 51 83 40 39, ons@dst.dk, Student, Student, Lærke Brøkner Bendix , +45 29 21 42 04, lbb@dst.dk, Student, Student, Luna Hagmund-Hansen , +45 29 24 56 59, luh@dst.dk, Student, Student, Rasmus Palm , +45 2925 1751, rhp@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=06&tlfbogsort=sektion

Documentation of statistics: Production and Turnover in Manufacturing Industries

Contact info, Short Term Statistics, Business Statistics , Mathias Dybdahl Bluhme , +45 40 22 56 37 , MDB@dst.dk , Get documentation of statistics as pdf, Production and Turnover in Manufacturing Industries 2025 , Previous versions, Production and Turnover in Manufacturing Industries 2024, Production and Turnover in Manufacturing Industries 2023, Production and Turnover in Manufacturing Industries 2022, Production and Turnover in Manufacturing Industries 2021, Production and Turnover in Manufacturing Industries 2020, Production and Turnover in Manufacturing Industries 2019, Production and Turnover in Manufacturing Industries 2018, Production and Turnover in Manufacturing Industries 2017, Production and Turnover in Manufacturing Industries 2016, Production and Turnover in Manufacturing Industries 2015, Production and Turnover in Manufacturing Industries 2014, Documents associated with the documentation, Mængdeberegninger for medicinalindustrien i Industriens Produktion og Omsætning (IPO) og det Kvartalsvise Nationalregnskab (KNR) (pdf) (in Danish only), The purpose of the statistics Industry's production and turnover is to shed light on developments in the industry. It is primarily used for assessments of economic developments in industry in Denmark., The statistics are part of the EU's common short-term statistics and date back to 1974, but in their current form are comparable from 1985 onwards for most industries., Statistical presentation, The statistics are a monthly statement of the production and turnover index for the industry. The statistics are divided into five groups defined on the basis of the use of goods and services (eg production of durable and non-durable consumer goods) and the main groups mining and quarrying (B), manufacturing (C) and energy supply (D) and 12 main industry groups under main group C, which follow the Danish industry nomenclature DB07. The turnover index is also calculated by dividing a domestic market turnover index and an export turnover index. All figures are published both adjusted for seasonal fluctuations and in actual figures., Read more about statistical presentation, Statistical processing, Every month, information is collected on the value of turnover and stock from a sample of approx. 1,000 industrial companies in Denmark. For most, this is done using online questionnaires, but for about 20 per cent. of the companies, the information can instead be collected from statistical registers. The received data is debugged and production is calculated based on turnover and stock figures. Then the data is weighted so that a production and a turnover index can be calculated that represents the entire manufacturing industry in Denmark. The results are seasonally adjusted to eliminate normal seasonal fluctuations, Read more about statistical processing, Relevance, The development of the production and turnover indices are primary used for manufacturing industry business cycle analyses and as input for the national accounts. Various users include industry organisations, public authorities and the news media. Form and content as well as comparisons with other statistics are continuously discussed at manufacturing industry user committee meetings., Read more about relevance, Accuracy and reliability, There is some sampling uncertainty as the statistics are based on a sample of companies. In addition, there are a number of assumptions in calculations, eg in connection with the valuation of inventories. In the first version of the numbers, there is a bit of a lapse., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published between 35 and 40 days after the end of the month. The punctuality is high, with very few delays in relation to the scheduled release dates. , Read more about timeliness and punctuality, Comparability, The current time series goes back to year 2000, and it has a high degree of comparability over time. The time series can for most industries be linked to data of previous years, resulting in a comparable time series going back to year 1985. The international comparability with similar statistics from other EU countries is very high., Read more about comparability, Accessibility and clarity, New figures are published in a monthly news article News from Statistics Denmark, and all figures can be found in , Statbank Denmark, ., The statistics also have a , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/production-and-turnover-in-manufacturing-industries

Documentation of statistics

Data Access for Educational Institutions

Through Statistics Denmark’s Thesis Scheme, public educational institutions can give their students access to pseudonymized microdata for use in thesis projects. On this page, you can find guidance materials and read more about the Thesis Scheme., Thesis Scheme – Data Access for Thesis Projects, The Master's thesis scheme is one of Statistics Denmark's microdata schemes. Master's thesis students at public Danish educational institutions may be granted access to delimited pseudonymised microdata for use in Master's thesis projects, since the educational institution 'selects' microdata covering themes on the Master's degree programme. To get access to Master's thesis scheme of educational institution, the Master’s thesis project must be at research level., Note, : As a Master's thesis student, you may merely get access to pseudonymised microdata via the Master's thesis scheme provided your educational institution already has established a Master's thesis scheme., Which Institutions Can Access the Thesis Scheme?, Educational institutions that offer master’s programs ending with a master’s thesis (typically 30–60 ECTS). The educational institution must be affiliated with a faculty, institute, or center under one of eight publicly recognized research universities in Denmark*., University of Copenhagen, including affiliated university hospitals such as Rigshospitalet., Aarhus University, including the AUH University Hospital in Skejby., University of Southern Denmark, including Odense University Hospital., Roskilde University., Aalborg University, including Aalborg University Hospital., Technical University of Denmark., Copenhagen Business School., IT University of Copenhagen., *If other institutions offering master’s programs in Denmark wish to establish an educational authorization, they can apply by sending a description of the institution and its needs to , danmarksdatavindue@dst.dk, ., How Does the Application Process for the Thesis Scheme Work?, In order to gain access to microdata under the Master's thesis scheme, you as an educational institution must first apply for an educational authorisation from Statistics Denmark. Reference is made to the current rules for authorisation., Statistics Denmark - Authorisation of Institutions, If you have questions about applying for educational authorization or need guidance, you are welcome to contact Denmark's Data Portal at , FSEautorisation@dst.dk, ., Please include "Regarding Statistics Denmark’s Thesis Scheme" in the subject line so that we can process your inquiry as quickly as possible., Which Data Does the Scheme Provide Access To?, Having obtained the educational authorisation, you apply Statistics Denmark for maximum of five broad projects with pseudonymised microdata, covering relevant themes in the Master's degree programme (see , Project proposal,  and , Broad projects, )., Pseudonymised microdata is personal and business data where no identifying information such as identification numbers (e.g. CPR and CVR) are recognisable., Price, The fee for the Thesis Program is lower than for the other microdata schemes offered by Statistics Denmark. For more information, see the document below: "Rules for Access to Pseudonymized Microdata under Statistics Denmark’s Thesis Scheme.", Rules for Access to Pseudonymised Microdata under Statistics Denmark’s Thesis Scheme, Special rules apply for access to pseudonymised microdata under Statistics Denmark’s Thesis Scheme. Please read more about these in the document below (in Danish)., Regler for adgang til pseudonymiserede mikrodata under Danmarks Statistiks specialeordning (pdf), Guidelines on Data Security and Agreements, Data confidentiality is a fundamental prerequisite for the existence of Statistics Denmark’s microdata schemes, including the Thesis Scheme. All datasets made available under the scheme are confidential. Therefore, as authorised educational institutions and users, you are obliged—through agreements with Statistics Denmark—to act in accordance with Statistics Denmark’s rules and guidelines. Below you will find the agreements and documents you are required to comply with., Statistics Denmark’s Information Security and Data Confidentiality Policy, Information security and data confidentiality policy – Statistics Denmark, Guidelines on Special Data Security Rules under the Master’s Thesis Scheme, The guidelines set out the rules and requirements that apply to Statistics Denmark’s Thesis Scheme. These rules constitute an adapted version of the general provisions that apply to all of Statistics Denmark’s microdata schemes. For the release of analysis results and in the event of breaches under the Thesis Scheme, the rules in these guidelines apply (in Danish)., Vejledning - Datasikkerhedsregler under Specialeordningen herunder regler for hjemtagning af analyseresultater og sanktioner ved databrud (pdf), Agreements, The Authorisation Agreement, Affiliation Agreement, and User Agreement must be signed and can be found , under the heading “Other agreements, documents, and guides (in Danish).”, Questions about the Master's Thesis scheme?, As educational institution you may direct any questions about the Master's Thesis Scheme, its establishment, the process, prices, etc., at , danmarksdatavindue@dst.dk, Please write "Regarding Statistics Denmark's Master's Thesis Scheme" in the subject field.

https://www.dst.dk/en/TilSalg/data-til-forskning/mikrodataordninger/data-til-uddannelsesinstitutioner

Documentation of statistics: Harmonized Index of Consumer Prices (HICP)

Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Harmonized Index of Consumer Prices (HICP) 2026 , Previous versions, Harmonized Index of Consumer Prices (HICP) 2025, Harmonized Index of Consumer Prices (HICP) 2024, Harmonized Index of Consumer Prices (HICP) 2023, Harmonized Index of Consumer Prices (HICP) 2022, Harmonized Index of Consumer Prices (HICP) 2021, Harmonized Index of Consumer Prices (HICP) 2020, Harmonized Index of Consumer Prices (HICP) 2019, Harmonized Index of Consumer Prices (HICP) 2018, Harmonized Index of Consumer Prices (HICP) 2017, Harmonized Index of Consumer Prices (HICP) 2016, Harmonized Index of Consumer Prices (HICP) 2015, Harmonized Index of Consumer Prices (HICP) 2014, Documents associated with the documentation, Notat-om-forbruger-og-nettoprisindekset-i-forbindelse-med-corona-krisen (pdf) (in Danish only), ECOICOP (pdf), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), The harmonized index of consumer prices (HICP) is compiled by all EU Member States and Norway, Iceland and Switzerland. The purpose of the harmonized consumer price indices is to be able to estimate the development in the countries' consumer prices on a comparable basis. HICP is used both by the Commission and by the European Central Bank in connection with the valuation of the price development in the individual countries in connection with the implementation and monitoring of the 3rd phase of the EMU. All the EU Member States and Norway and Iceland have compiled HICP since January 1997., Statistical presentation, HICP shows the development of prices for goods and services bought by private households in Denmark. Thus, the index also covers foreign households' consumption expenditure in Denmark, but not Danish households' consumption expenditure abroad. The index shows the monthly changes in the costs of buying a fixed basket of goods, the composition of which is made up in accordance with the households' consumption of goods and services., The price indices for April, May, June, July, August, September, October, November, December 2020 and January, February, March, April, May and June 2021 are more uncertain than usual, as the non-response rate has been significantly larger than normal and some businesses have been shut down due to COVID-19., Read more about statistical presentation, Statistical processing, The HICP is calculated on the basis of 23,000 prices collected from approx. 1,600 shops, companies and institutions throughout Denmark. Most prices are by far collected monthly. The data material received is examined for errors, both by computer (using the so called HB-method) and manually. The different goods and services, which are included in the HICP, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are mainly calculated as geometric indices. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total HICP., Read more about statistical processing, Relevance, The HICP is generally viewed as a reliable statistic based on the views of users., Important users are among others The European Central Bank, The European Commission, The Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank as well as private banks and other financial organizations., Read more about relevance, Accuracy and reliability, No calculation has been made of the uncertainty connected with sampling in the HICP as the sample is not randomly drawn, but the quality of the HICP is accessed to be high. In connection with COVID-19, uncertainty is greater than usual as it has been difficult to collect prices and many industries have been closed down., In addition to the "general" uncertainty connected with sampling, there are a number of sources of potential bias in the consumer price index. One source is the consumers substitution between goods and shops and another source is changes in the sample., Read more about accuracy and reliability, Timeliness and punctuality, The HICP is published on the 10th or the first working day thereafter, following the month in which the data was collected. , The statistics are published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The Danish HICP can be compared directly with other countries' HICPs. Using the HICPs it is possible to compare the inflation rates between different countries directly., The Danish HICP is also related to the national consumer price index., From January 2001, the only difference between the national consumer price index and the HICP is the coverage of goods and services, as owner-occupied dwellings is only recorded in the consumer price index and not in the HICP. , From January till December 2000, the only difference between the national consumer price index and the HICP is that both owner-occupied dwellings and private hospitals are only recorded in the consumer price index and not in the HICP. , Before January 2000, there are differences in calculation and methodology between the two indices as well as several differences as regards their coverage of goods and services., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Harmonized index of consumer prices (HICP), . The HICP of all Member States is also published by Eurostat in , Statistics in Focus/Economy and Finance, and on , Eurostat, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/harmonized-index-of-consumer-prices--hicp-

Documentation of statistics

Documentation of statistics: Consumer Price Index

Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Consumer Price Index 2026 , Previous versions, Consumer Price Index 2025, Consumer Price Index 2024, Consumer Price Index 2023, Consumer Price Index 2022, Consumer Price Index 2021, Consumer Price Index 2020, Consumer Price Index 2019, Consumer Price Index 2018, Consumer Price Index 2017, Consumer Price Index 2016, Consumer Price Index 2015, Consumer Price Index 2014, Documents associated with the documentation, Klassifikationskoder og beskriveler (pdf), Notat om forbruger-og nettoprisindekset i forbindelse med coronakrisen (pdf) (in Danish only), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), Vejledning til regulering med prisindeks (pdf) (in Danish only), Vægte 2021 og corona (pdf) (in Danish only), FPI-dokumentation - opdateret maj 2020 (pdf) (in Danish only), The purpose of the consumer price index is to measure the development of the prices charged to consumers for goods and services bought by private households in Denmark. The consumer price index has been calculated since 1914, but there are estimated figures for the development in consumer prices back to 1872. From January 1967 the index has been calculated on a monthly basis., Statistical presentation, The consumer price index shows the development of prices for goods and services bought by private households in Denmark. Thus, the index also covers foreign households' consumption expenditure in Denmark, but not Danish households' consumption expenditure abroad. The index shows the monthly changes in the costs of buying a fixed basket of goods, the composition of which is made up in accordance with the households' consumption of goods and services. The consumer price indices divided by group of households show the price development for different households. , The price indices for April, May, June, July, August, September, October, November, December 2020 and January, February, March, April, May and June 2021 are more uncertain than usual, as the non-response rate has been significantly larger than normal and some businesses have been shut down due to COVID-19., Read more about statistical presentation, Statistical processing, The consumer price index is calculated on the basis of 23,000 prices collected from approx. 1,600 shops, companies and institutions throughout Denmark. Most prices are by far collected monthly. The data material received is examined for errors, both by computer (using the so called HB-method) and manually. The different goods and services, which are included in the consumer price index, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total consumer price index. In calculating a price index it is assumed that the baskets of goods that are compared are identical, also with respect to the quality of the goods. Mainly indirect quality adjustment methods are being applied in the consumer price index in connection with changes in the sample. , Read more about statistical processing, Relevance, The consumer price index is generally viewed as a reliable statistic based on the views of users., Important users are among others the Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank and private banks and other financial organizations., Read more about relevance, Accuracy and reliability, No calculation has been made of the uncertainty connected with sampling in the consumer price index as the sample is not randomly drawn, but the quality of the consumer price index is accessed to be high., In addition to the "general" uncertainty connected with sampling, there are a number of sources of potential bias in the consumer price index. One source is the consumers substitution between goods and shops and another source is changes in the sample (se chapter regarding "Non-sampling error")., Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index is published on the 10th or the first working day thereafter, following the month in which the data was collected. , The statistics are published without delay in relation to the scheduled date., The consumer price indices divided by group of households are published twice a year., Read more about timeliness and punctuality, Comparability, The consumer price index is related to the European Union harmonized consumer price index (HICP) and to the index of net retail prices. From January 2001, the only difference between the national consumer price index and the HICP is the coverage of goods and services, as owner-occupied dwellings is only recorded in the consumer price index and not in the HICP. The consumer price index is also related to the index of net retail prices. The two indices comprise the same groups of goods and services and are calculated according to the same methodology. Consequently, the only difference between the two indices is the price concept used, as indirect taxes and VAT are subtracted in the index of net retail prices, and the weighting., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Consumer Price Index, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/consumer-price-index

Documentation of statistics

JORD1: Profit and loss accounts for all farms (average)

type of farm region standard output, quartile group, items and time
2008-2024 (Avg.)

https://www.statbank.dk/JORD1

Tables in StatBank

LIGELI2: Gender equality indicator of gender pay gap

indicator, occupation, age and time
2010-2024 (Per cent)

https://www.statbank.dk/LIGELI2

Tables in StatBank

BUDR32: County budgets (DKK 1.000)

county council district, function, dranst, kind, price unit and time
2007-2026 (-)

https://www.statbank.dk/BUDR32

Tables in StatBank